Human Data Architect

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Surge AI

Site WebLinkedInTous les Emplois

51 - 200 employés

Fondée en 2020

🤖 Intelligence artificielle

🔌 API

☁️ SaaS

💰 €25 000 000 Series A en 2020-07

Artificial Intelligence • API • SaaS

Surge AI est une entreprise qui fournit des données de formation de haute qualité et des solutions d'étiquetage de données pour les équipes d'apprentissage automatique. Elle propose une plateforme SaaS pilotée par API qui combine l'annotation humaine dans la boucle, le contrôle qualité et des outils pour la collecte, la validation et la gestion de jeux de données afin d'accélérer le développement de modèles et d'améliorer la performance des modèles.

Description

• Architect end-to-end data workflows — from task design through quality assurance and delivery — ensuring each stage produces data that is well-structured for its post-training purpose (e.g., SFT, RL, model evaluation). • Design collection structures and task frameworks that translate what clients need from a model into concrete, scalable data generation processes. • Build and monitor data quality frameworks that catch problems before they reach the client. • Partner with engineering and product teams to improve data pipelines, identifying where structural or methodological changes can improve throughput without sacrificing quality. • Translate patterns in data quality and project structure into actionable insights that inform project design, client deliverables, and product development.

🎯 Exigences

• Experience designing human data collection at scale — e.g., in computational cognitive science, HCI, crowdsourcing research, or a similar field where you've thought carefully about how to get reliable signal from human participants. • Familiarity with ML post-training paradigms (e.g., SFT, RL) and a working intuition for how data quality decisions map onto model outcomes. • Strong technical skills with the ability to work across data pipelines, not just analyze endpoints. • Systems-level thinking — you understand how task design choices propagate into training data and you design accordingly. • Excellent communication skills — you can explain measurement concepts to engineers and engineering constraints to researchers.

🏖️ Avantages

• Competitive salary • Flexible working hours • Professional development budget • Home office setup allowance • Global team events